Load-prediction-based control system and method for heating ventilation air-conditioning system

Abstract

The invention relates to a load-prediction-based control system and method for a heating ventilation air-conditioning system. On the one hand, the load-prediction-based control system (CS) for the heating ventilation air-conditioning system is provided. The control system comprises a foundation database (10), a sensing system (20), a load predication part (30) and a central controller (40), wherein the foundation database is used for storing data related to the heating ventilation air-conditioning system, the sensing system is used for providing measured data related to the heating ventilation air-conditioning system, the load predication part is used for calculating a predicted load value of the heating ventilation air-conditioning system, and the central controller is used for calculating actual load capacity of the heating ventilation air-conditioning system on the basis of the measured data. The central controller sends out a control command for controlling operation of the heating ventilation air-conditioning system on the basis of the difference value of the predicted load value and the actual load capacity. According to the load-prediction-based control system and method, stable and optimized energy saving control over the heating ventilation air-conditioning system can be achieved.

Description

technical field [0001] The present invention relates to the field of heating, ventilating and air-conditioning, in particular to a control system based on load prediction for a heating, ventilating and air-conditioning system capable of improving control quality and an associated control method. Background technique [0002] In modern large buildings, for example, the energy consumption of HVAC systems (such as central air-conditioning systems) usually accounts for more than 60% of the total energy consumption of the building. Therefore, it is of great practical significance to further reduce the energy consumption level of the central air-conditioning system on the premise of ensuring the comfort of the building environment. The traditional PID control of the integrated cold station has inherent shortcomings such as control lag and poor anti-disturbance ability. Using the integrated cooling station control strategy based on building cooling load forecasting can effectively...

AI Technical Summary

Problems solved by technology

However, the proposed control method of adding or subtracting chillers based on the load increase or decrease trend of load forecasting is too simple to truly realize the energy-saving optimal control of central air conditioning

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